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DBMS > Amazon DocumentDB vs. GridGain vs. Transwarp Hippo

System Properties Comparison Amazon DocumentDB vs. GridGain vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGridGain  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGridGain is an in-memory computing platform, built on Apache IgniteCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websiteaws.amazon.com/­documentdbwww.gridgain.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationaws.amazon.com/­documentdb/­resourceswww.gridgain.com/­docs/­index.html
DeveloperGridGain Systems, Inc.
Initial release201920072023
Current releaseGridGain 8.5.11.0, May 2023
License infoCommercial or Open Sourcecommercialcommercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLC++
Server operating systemshostedLinux
OS X
Solaris
Windows
z/OS
Linux
macOS
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access control
Security Hooks for custom implementations
Role based access control and fine grained access rights

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More resources
Amazon DocumentDBGridGainTranswarp Hippo
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